Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Patch management keeps your servers secure, stable, and performing. Here are the practices that work in production: 1. Establish a Patch Management Policy Document the process: roles, responsibilities, timelines, and procedures. Define criticality: categorize patches by importance — security, stability, feature updates. Compliance: align the policy with standards like GDPR, PCI-DSS, or HIPAA. 2. Inventory […]
Configuring IT infrastructure for hybrid cloud data sharing means integrating on-premises and cloud environments so data moves securely, performs well, and scales. Here are the steps and considerations. 1. Define Business Requirements Data Types: Identify what you’re sharing — structured, unstructured, sensitive, regulated. Use Cases: Analytics, disaster recovery, collaboration, burst compute — each drives different […]
Configuring infrastructure for containerized applications means building an environment that supports orchestration, networking, storage, and security at scale. Here’s how to approach it. 1. Assess Requirements Workload analysis: determine whether your applications are stateful or stateless, CPU-bound, memory-heavy, or GPU-dependent. Scalability: define horizontal and vertical scaling targets. Performance: quantify CPU, memory, I/O, and GPU needs. […]
You manage datacenters, storage, backup, servers, virtualization, operating systems, Kubernetes, and the rest of the stack. Here is a practical patch management strategy you can put into production. 1. Establish Patch Management Policy Define scope: which systems, servers, applications, and devices are included (Windows, Linux, Kubernetes clusters, network gear, firmware). Set objectives: keep systems current, […]
Start by establishing a baseline. You can’t improve what you don’t measure. 1. Baseline Network Performance Use monitoring tools like SolarWinds, Nagios, or PRTG to capture latency, packet loss, throughput, and error rates over a representative period. Analyze traffic patterns to identify peak periods, bottlenecks, and which applications consume the most bandwidth. 2. Upgrade Network […]
Implementing IT infrastructure for big data processing requires careful planning to ensure scalability, reliability, and performance. Below is a step-by-step guide tailored for an IT manager responsible for datacenters, storage, servers, virtualization, and related infrastructure: 1. Assess Business Requirements Determine the volume, variety, and velocity of data you’ll be processing (the 3 Vs of big […]
